The Home Depot is transforming how merchandising decisions are made through AI-powered solutions and automation, and this role aims to solve complex, high-value business problems in retail and merchandising.
Requirements
- PhD in a quantitative field (Operations Research, Computer Science, AI, Engineering, Applied Math, etc.)
- 6+ years of hands-on experience developing and deploy optimization models into production environments and integrate into scalable data pipelines and decision systems
- Proficient in optimization solvers (e.g., Gurobi, CPLEX, OR-Tools) and modern programming languages (Python, etc) to prototype and productionize solutions
- Strong understanding of data structures, and modern cloud ecosystems (GCP, AWS, etc.)
- Experience leveraging common simulation approaches and/or reinforcement learning techniques
- Proficient with data visualization software (preferably Tableau)
- Familiarity with GenAI, LLM and Agentic framework
Responsibilities
- Proficiently design and develop algorithms and models to use against large datasets to create business insights
- Execute tasks with high levels of efficiency and quality
- Make appropriate selection, utilization and interpretation of advanced analytical methodologies
- Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners
- Prepare reports, updates and/or presentations related to progress made on a project or solution
- Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
- Seek further knowledge on key developments within data science, technical skill sets, and additional data sources
Other
- Must be eighteen years of age or older
- Must be legally permitted to work in the United States
- Typically requires overnight travel less than 10% of the time
- Must have a bachelor's degree program or equivalent degree in a field of study related to the job
- 5+ years of work experience
